Extracting Notional Machines for Databases
Daphne Miedema (Universiteit van Amsterdam)
George Fletcher (Eindhoven University of Technology)
E.A. Aivaloglou (TU Delft - Web Information Systems)
Leonard Busuttil (University of Malta)
Laura Farinetti (Politecnico di Torino)
Martin Goodfellow (University of Strathclyde)
Giovanna Guerrini (Università degli Studi di Genova)
Georgiana Haldeman (Colgate University)
Yuhan Pan (University of Toronto)
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Abstract
Database education is a cornerstone under many of the more popular topics in computer science such as machine learning and visualization. Although, in recent years, more fundamental research into database education has come out, there are many more ways in which it can be extended. Research on the practice of teaching databases, namely on the educational materials and explanations of teachers, can help us create new building blocks for fundamental research. This working group aims to collect and present notional machines of different types, for a wide range of database subtopics. These materials offer and updated context for database educators to design their courses from, as well as open up pathways of further research into database education.